Triple

T11258235
Position Surface form Disambiguated ID Type / Status
Subject FAJS E266494 entity
Predicate usedIn P98 FINISHED
Object air traffic control E858071 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: air traffic control | Statement: [FAJS, usedIn, air traffic control]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: air traffic control
Context triple: [FAJS, usedIn, air traffic control]
  • A. Air Traffic Control chosen
    Air Traffic Control is the service responsible for managing and directing aircraft on the ground and in the air to ensure safe, orderly, and efficient flight operations.
  • B. Air Traffic Organization
    The Air Traffic Organization is the operational arm of the U.S. Federal Aviation Administration responsible for managing and controlling the nation’s air traffic system.
  • C. ARTCC
    ARTCC (Air Route Traffic Control Center) is a facility responsible for controlling and monitoring en route air traffic over large regions between airport terminal areas.
  • D. Air Traffic Control Centre
    The Air Traffic Control Centre is a Belgian Air Force unit responsible for managing and coordinating military air traffic within Belgian airspace.
  • E. Tower Control
    Tower Control is an air traffic control unit located at an airport that manages aircraft movements on the runways and in the immediate airspace around the field.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e935b85c819085e1abf2dd4099c5 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccada158819080e49833e09f84a0 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.